基于输入面形态学处理的联合变换相关器研究

Research on joint transform correlator with morphological processing in the in put plane

为增强联合变换相关器输入面图像去噪和边缘检测的可调节性,改善相关器的识别效果,将形态学算法引入输入面图像去噪和边缘检测,提出利用形态学边缘检测的宽度可调节性来改善联合变换相关器的识别效果。计算机模拟表明,改进后的算法是有效的。

In order to promote adjustability of image noise removed and image edge detectio n in the input plane and improving recognition effect of joint transform correlator (JTC), morphological algorithm is introduced to remove image noise a nd detect image edge in the input plane. Width adjustability of morphological ed ge detection is put forward to improve JTC recognition effect. Computer simulati on results show that the modified algorithm is effective.